Brain Health and Lifestyle

Preventing Neurodegeneration
1. Auflage 2026
ISBN: 978-1-041-22017-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 286 Seiten, Format (B × H): 156 mm x 234 mm

This book is a comprehensive guide that explores how everyday choices impact cognitive longevity and provides evidence-based strategies to maintain brain health in an aging world facing rising rates of neurodegenerative disorders.

The book examines the latest research on modifiable lifestyle factors including nutrition, physical activity, sleep optimization, stress management techniques, cognitive engagement exercises, and technology's impact on brain function. It integrates insights from neuroscience, psychology, and integrative medicine to offer practical applications rather than focusing solely on disease pathology, empowering readers with preventive approaches to build neural resilience throughout life.

This essential resource will benefit health-conscious individuals, healthcare professionals, caregivers, and researchers interested in lifestyle interventions.

Zielgruppe

Academic, Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Singhal, Prateek

Mishra, Pramod Kumar

Alapatt, Bosco Paul

Singh, Madan

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizin, Gesundheit: Sachbuch, Ratgeber

Inhaltsverzeichnis

Chapter 1 Brain Tumor Detection Using Image Segmentation Through Adaptive K-Means Algorithm Vikas Maurya Vikash Kumar Mishra Abdul Aleem Chapter 2 AI Driven IoT AIIOT In Brain Health Study IR Dr Kazi Kutubuddin Sayyad Liyakat Chapter 3 AI-Driven Speech Analysis for Early Detection of Alzheimer’s Disease A Pathway Toward Brain Health & Neurodegeneration Prevention Priya Parkhi Samiksha Harjal Chapter 4 AI-driven diagnostics for early detection of neurodegenerative diseases Pawan Parihar Santosh Kumar Henge Ravleen Singh Ambika Devi Talluri Jyothi Chapter 5 Implement a Brain-healthy Lifestyle for Long-term Well-being Mamta Bahetra Bhavneesh Saini Chapter 6 Blockchain-Inspired Digital Twin Integrated with AI for Knee Osteoarthritis Treatment Using IoT Sudhir Kumar Sangula Siddique Ibrahim S P Chapter 7 MindWeaver Framework A pioneering AI and IoT-based Mental Health Analysis System Kazi Kutubuddin Sayyad Liyakat Heena T Shaikh Chapter 8 Neuroplasticity and Cognitive Performance Exploring Influential Factors and Effective Interventions Anagha Oruganti Srikanth Pallerla Chapter 9 The Gut-Brain Connection and the Influence of the Microbiome on Cognition Ravleen Singh Pawan Parihar Santosh Kumar Henge Pratima Panigrahi Neha Singh Chapter 10 The Role of Sleep in Brain Detoxification Dr Preeti Pannu Dr Satjot Singh Dhillon Chapter 11 XChaCha20-Enhanced Secure Forensic Architecture for Cloud Environments Dr Puspita Dash Kavinila J Ramya G Mathumitha G Chapter 12 Optimized Neuroimaging Preprocessing with CNNs for Improved Alzheimer’s and Mild Cognitive Impairment Detection Sunil Kumar Harish Kumar Madan Singh Chapter 13 AI-Driven Diagnostics for Early Detection of Neurodegenerative Diseases Anish Das Madan Singh Prateek Singhal Sujata Chauhan Brajesh Shishodia Chapter 14 Transforming Neurological Disorders Deep Learning Approaches in Parkinson’s Disorder Ritu Gautam Prableen Kaur Pooja Kaul Chapter 15 Exercise and the Human Health A Physical Physiological and Psychological Perspective Sanchit Sujata Chauhan Prateek Singhal Chapter 16 AI-Enabled Early Detection and Lifestyle Interventions Management for Preventing Neurodegenerative Disorders Shrutika Mishra Priyanshu Mishra Chapter 17 Strategic Business Models and Ecosystem Commercialization of Preventive Brain Health Technologies Priyanshu Mishra Shrutika Mishra

Über Autor(innen)

Mr. Prateek Singhal is an Assistant Professor in the School of Computer Science and Engineering at Chandigarh University, Lucknow, Uttar Pradesh. He is pursuing his Ph.D. in Medical Imaging from Maharishi University of Information Technology in Lucknow, India. He has published multiple research articles and spoken at prestigious conferences. His research and scholarly activities centre on the interface of machine learning, artificial intelligence, and healthcare applications. He holds several national and international patents, some of which are awarded. He also serves on the scientific advisory committee at his current institute. His research interests include image processing, medical imaging, human-computer interfaces, neurocomputing, and the Internet of Things.

Dr. Pramod Kumar Mishra serves as the Department Head and Professor in the Department of Computer Science & Engineering at Banaras Hindu University, Varanasi. He has completed his Ph.D. from APS University, Rewa, India, studying efficient shortest path algorithms for serial and parallel computers. He has more than thirty years of experience in the field and has published several research articles. He has received various awards and fellowships from well-reputed organisations. He has also received various grants from national and international government agencies. His areas of interest include AI and machine learning algorithms, data analytics, parallel computing, high-performance clusters, algorithm engineering (AE), high-performance AE, parallel computation, and computational complexity.

Dr. Bosco Paul Alapatt is an Associate Dean and Head of the School of Sciences at Christ Deemed to be University, Delhi-NCR. He holds a Ph.D. in Computer Science, an MBA in Human Resources, and an MCA. With over 21 years of teaching experience, his research interests lie in secured fibre-optical communication, as evidenced by his PhD topic on bounded probability-based compression with a tri-modal encryption algorithm. He has published extensively in areas such as image compression, network security, and machine learning applications in healthcare, including work on intrusion detection systems and novel encryption algorithms. He served as member of advisory board, editors and reviewers. He holds a patent for a speech recognition-based digital documentation system. Further, he is a member of several professional bodies, including IEEE, CSI, ACM, and ICSES, and has guided numerous student projects and dissertations.

Dr. Madan Singh is as an Associate Professor in Christ University, NCR Ghaziabad and has earned his doctoral degree in the specialization of Computer Engineering from JC Bose University, Faridabad (Haryana). He has over 18 years of teaching experience in different prestigious engineering colleges and universities across India. He has guided 38 undergraduate and 15 postgraduate students in various fields of Computer Science Engineering. His major areas of interest are agile software development, mobile Ad-hoc networks, trusted computing, computer security and machine learning. He has published more than 35 research papers in numerous reputed journals, written 3 book chapters and has secured 2 patents in his name. He is a lifetime member of I.S.T.E and Y.A.I.